DBMS > Atos Standard Common Repository vs. Sphinx vs. Yaacomo
System Properties Comparison Atos Standard Common Repository vs. Sphinx vs. Yaacomo
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|Editorial information provided by DB-Engines
|Atos Standard Common Repository Xexclude from comparison
|Sphinx Xexclude from comparison
|Yaacomo Xexclude from comparison
|This system has been discontinued and will be removed from the DB-Engines ranking.
|Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
|Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks
|Open source search engine for searching in data from different sources, e.g. relational databases
|OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
|Primary database model
|Atos Convergence Creators
|Sphinx Technologies Inc.
|3.5.1, February 2023
|License Commercial or Open Source
|Open Source GPL version 2, commercial licence available
|Cloud-based only Only available as a cloud service
|DBaaS offerings (sponsored links) Database as a Service
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|Server operating systems
|Schema and schema-less with LDAP views
|Typing predefined data types such as float or date
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.
|yes full-text index on all search fields
|SQL Support of SQL
|SQL-like query language (SphinxQL)
|APIs and other access methods
|Supported programming languages
|All languages with LDAP bindings
|C++ unofficial client library
Perl unofficial client library
Ruby unofficial client library
|Server-side scripts Stored procedures
|Partitioning methods Methods for storing different data on different nodes
|Sharding cell division
|Sharding Partitioning is done manually, search queries against distributed index is supported
|Replication methods Methods for redundantly storing data on multiple nodes
|MapReduce Offers an API for user-defined Map/Reduce methods
|Consistency concepts Methods to ensure consistency in a distributed system
|Immediate Consistency or Eventual Consistency depending on configuration
|Foreign keys Referential integrity
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data
|Atomic execution of specific operations
|Concurrency Support for concurrent manipulation of data
|Durability Support for making data persistent
|yes The original contents of fields are not stored in the Sphinx index.
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.
|User concepts Access control
|LDAP bind authentication
|fine grained access rights according to SQL-standard
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